Shanmukha
Bangalore/Online
About
Shanmukha is a skilled AI and emerging technology tutor with 4 years of teaching experience and a solid engineering background. He specializes in Prompt Engineering, Large Language...
Shanmukha is a skilled AI and emerging technology tutor with 4 years of teaching experience and a solid engineering background. He specializes in Prompt Engineering, Large Language Models (LLMs), ChatGPT, AI with Python, and VS Code, helping learners understand modern AI tools and workflows in a clear, practical, and structured way.He offers both online and offline classes, making his sessions accessible to students across India and learners in Bangalore who prefer in-person guidance.🎓 Qualifications SummaryB.Tech / B.E.His engineering education supports a strong conceptual approach to AI systems, programming logic, and applied learning.🧠 Experience OverviewWith 4 years of experience, Shanmukha has worked with:Beginners exploring AI tools and prompt engineeringLearners understanding LLMs and ChatGPT usageStudents applying AI concepts using PythonIndividuals seeking hands-on exposure using VS CodeA Microsoft OpenAI Hackathon Winner and Manager-level Data Scientist with a proven track record of deploying high-impact AI solutions for global clients like Genpact and Cognizant.
Shanmukha
Bangalore/Online
Skills :
Shanmukha is a skilled AI and emerging technology tutor with 4 years of teaching experience and a solid engineering background. He specializes in Prompt Engineering, Large Language...
Shanmukha is a skilled AI and emerging technology tutor with 4 years of teaching experience and a solid engineering background. He specializes in Prompt Engineering, Large Language Models (LLMs), ChatGPT, AI with Python, and VS Code, helping learners understand modern AI tools and workflows in a clear, practical, and structured way.He offers both online and offline classes, making his sessions accessible to students across India and learners in Bangalore who prefer in-person guidance.🎓 Qualifications SummaryB.Tech / B.E.His engineering education supports a strong conceptual approach to AI systems, programming logic, and applied learning.🧠 Experience OverviewWith 4 years of experience, Shanmukha has worked with:Beginners exploring AI tools and prompt engineeringLearners understanding LLMs and ChatGPT usageStudents applying AI concepts using PythonIndividuals seeking hands-on exposure using VS CodeA Microsoft OpenAI Hackathon Winner and Manager-level Data Scientist with a proven track record of deploying high-impact AI solutions for global clients like Genpact and Cognizant.
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Courses by: Shanmukha
Generative AI (Including Usecases) Training by Shanmukha
Course Description
Master the transition from basic LLM prompting to building autonomous, production-ready AI systems. This course is led by an industry expert who has delivered over $80,000 in business revenue and 2 FTE efficiency gains through AI automation. You will learn to build the exact systems used in modern enterprises: from Agentic Research Assistants to Multimodal AI solutions.
Module 1: The Foundations of Modern LLMs
Evolution of AI: From CNNs and Deep Learning to Transformers.
The OpenAI Ecosystem: Utilizing GPT-4, DALL-E 3, and Vision Models.
Azure AI Services: Deploying models using Azure OpenAI and Cognitive Services.
Module 2: Advanced Prompting & Intent Recognition
Zero-Shot & Few-Shot Learning: Moving beyond simple instructions.
Structured Outputs: Using PydanticAI for accurate user intent prediction.
System Design: Building intelligent logic independently without external frameworks.
Module 3: Advanced RAG (Retrieval-Augmented Generation)
The Vector Stack: Managing embeddings with Postgres and PG-Vector.
Data Orchestration: Ingesting data from SharePoint and Salesforce (SFDC).
Graph RAG & Agentic RAG: Implementing advanced retrieval strategies for complex knowledge bases.
Module 4: Multi-Agent Systems & Orchestration
Agentic Frameworks: Hands-on with CrewAI, Autogen, and LangGraph.
Task Delegation: Assigning specific goals to agents for large-scale report generation.
Human-in-the-loop: Designing systems for audit and verification.
Module 5: Enterprise Integration & Deployment
Cloud Automation: Building workflows with Azure Functions and Logic Apps.
API Development: Deploying models as FastAPI and Flask services.
Multimodal Integration: Building assistants that handle image generation, transcription, and Bing search.
Module 6: Real-World Business Applications
Sales Intelligence: Automating client research and pipeline analysis.
DevOps AI: Generating code and synthetic test cases from Business Requirement Documents (BRDs).
Document Intelligence: Automating SOC vendor report analysis and data extraction.
Hands-On Projects (Directly from my Portfolio)
The Agentic Research Assistant: Build a system that crawls the web via Bing Search to generate 2,000-word structured reports.
Multimodal Teams Bot: Create an AI assistant integrated into Microsoft Teams for real-time business insights.
Automated Project Creator: Design an end-to-end flow that triggers from a Salesforce "Deal Won" event to create projects in Monday.com.
Who is this for?
Developers wanting to master Agentic frameworks like LangGraph.
Data Scientists aiming to move into AI Engineering and Cloud deployment.
Product Managers looking to understand the ROI and efficiency of GenAI.
About the Instructor
A Microsoft OpenAI Hackathon Winner and Manager-level Data Scientist with a proven track record of deploying high-impact AI solutions for global clients like Genpact and Cognizant.
